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• Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
  2019 · 98 citations
• Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus
  2019 · 54 citations
• Cooperative Multi-Agent Reinforcement Learning with Partial Observations
  2020 · 9 citations
• Transfer Reinforcement Learning under Unobserved Contextual Information
  2020 · 4 citations
• Learning Optimal Strategies for Temporal Tasks in Stochastic Games
  2021 · 2 citations
• Policy Evaluation in Distributional LQR
  2023 · 2 citations
• Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning
  2021 · 1 citations
• Risk-Averse No-Regret Learning in Online Convex Games
  2022 · 1 citations
• Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits
  2023 · 1 citations
• Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
  2025
• LAPP: Large Language Model Feedback for Preference-Driven Reinforcement Learning
  2025
• Inverse Reinforcement Learning from Non-Stationary Learning Agents
  2024
• Transfer Reinforcement Learning in Heterogeneous Action Spaces using Subgoal Mapping
  2024